Senior Leader, Advanced Modeling

Job Summary

Leader of Advanced Modeling will be responsible for leading the Advanced Modeling team to deliver the analytical model, statistical model or machine learning to identify business opportunities or resolve business challenges. Work closely with business (such as marketing, sales, product team etc.), data engineer, or BI to shape the data science products and solutions.

Job Responsibilities*

• Lead, manage and coach team to deliver the outcome with efficiency and timely manner.
• Strategic design in applying advanced analytics in business by using design thinking methodologies, insights derived from AI/ML, advanced modeling and establish execution roadmap and alignment with key stakeholders.
• Generate initiatives/or new analytical ideas to enable new business opportunities.
• Accountable for the successful delivery of advanced model initiative/design to development, agreed quality and business target agreement.
• Attract and lead a working team to generate useful learning and insights from applying advanced analytics & modeling to drive and improve execution performance.
• Perform large-scale data analysis and develop effective machine learning or statistical models, segmentation, classification, pattern recognition, optimization, etc. on large and complex data sets.
• Develop, build and test statistical and computational models that serve as a key input for real-time contextual marketing tools.
• Identify business opportunities, actionable insights and suggest recommendations for data-driven marketing campaigns.
• Collaborate and establish trust-based relationships with stakeholders to provide impactful analysis and insights that align with business objectives.
• Work closely with other BI functions and campaign operations to provide end-to-end analytical solutions and proactively create and test decision rules for marketing campaigns.

Qualifications

• M.S./Ph.D. in a quantitative field such as mathematics, statistics, data science, computer engineering, or related field
• At least 5 years+ of professional analytical or modeling area or related field in a mid-senior management role
• Excellent analytical skills, understanding of fundamentals of statistics and experimental design
• Deep understanding of statistical modeling, predictive modeling, propensity models, and machine-learning algorithms and deep learning techniques
• Full stack experience in data understanding, collection, aggregation, analysis, visualization, productionization, and monitoring of ML products.
• Experience in data engineering, working with big data technology (Spark) and cloud platforms such as AWS, Azure or GCP is a plus
• Ability to manipulate and analyzing complex, high-volume, high-dimensionality data from varying sources
• Ability to communicate complex analysis in a clear, simple, and actionable manner
• Working knowledge of SQL and rational databases as well as analysis tool such as R, SAS, Python or Matlab
• Experience in Telecom industry is an advantage
• Experience analyzing data from 3rd party providers: Google Analytics, Facebook Insights, Adwords etc. is an advantage
• Good command of English